NEUROINFORMATICS explores the synergy of neuroscience and information technology. It begins with the field's definition, scope, and applications, tracing its history and interdisciplinary challenges. The book covers neuroscience basics, including neuroanatomy, neural signaling, and circuits. It introduces neuroimaging techniques for diagnosing neurological disorders and highlights computational neuroscience, including models like Hodgkin-Huxley and neuron simulation software. Data acquisition, management, and the importance of metadata standards and data sharing policies are discussed. The text details tools for data analysis, visualization, statistical methods, and machine learning, emphasizing efficient data handling. Neuroimaging informatics is explored, with a focus on techniques like MRI and PET, and the integration of machine learning. Neurogenomics examines the genetic basis of brain function and the challenges of data integration, with a nod to databases like ENCODE. Cognitive neuroscience delves into cognitive functions and disorders, integrating neuroimaging and electrophysiological data. Clinical neuroscience focuses on diagnostic tools, treatment modalities, and the role of electronic health records and telemedicine. The book concludes with ethical, legal, and social considerations in neuroinformatics, discussing privacy, consent, and the impact on healthcare. NEUROINFORMATICS is a comprehensive guide for those at the intersection of neuroscience and informatics, offering insights into current practices and future directions.